Enviaments recents

  • Event-based control for sit-to-stand transition using a wearable exoskeleton 

    Rajasekaran, Vijaykumar; Vinagre Ruiz, Manuel; Aranda López, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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    Sit-to-stand transition is an essential step in a lower limb rehabilitation therapy, mainly for assisting the patient to transit from wheel chair to the next level of therapy. A mixed stiffness-damping control adaptation ...
  • Communication-aware consensus for frequency restoration in islanded microgrids 

    Martí Colom, Pau; Velasco García, Manel; Martín Rull, Enric Xavier; Castilla Fernández, Miguel; Miret Tomàs, Jaume; Camacho Santiago, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    MicroGrids (MGs) include spatially distributed generation (DG) systems and loads that may require operating autonomously in islanded mode. The operation of islanded MGs can benefit from consensus theory and practice, ...
  • V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery 

    Avilés Rivero, Angélica Ivone; Alsaleh, Samar M.; Montseny Masip, Eduard; Casals Gelpi, Alicia (Atlantis Press, 2015)
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    Accurate and robust estimation of applied forces in Robotic-Assisted Minimally Invasive Surgery is a very challenging task. Many vision-based solutions attempt to estimate the force by measuring the surface deformation ...
  • Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data 

    Avilés Rivero, Angélica; Widlak, Thomas; Casals Gelpi, Alicia; Ammari, Habib (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    Estimation of the cardiac motion is very important in order to detect heart diseases. This work presents a cardiac motion estimation approach using ultrafast ultrasound data. We optimize a variational framework which has ...
  • Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images 

    Alsaleh, Samar M.; Avilés Rivero, Angélica; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia; Hahn, James K. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    Minimally invasive surgical and diagnostic systems rely on endoscopic images of internal organs to assist medical tasks. Specular highlights are common on those images due to the strong reflectivity of the mucus layer on ...
  • Human activity recognition from object interaction in domestic scenarios 

    Flores Vázquez, Carlos; Aranda López, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    This paper presents a real time approach to the recognition of human activity based on the interaction between people and objects in domestic settings, specifically in a kitchen. Regarding the procedure, it is based on ...
  • Anticipating human activities from object interaction cues 

    Aranda López, Juan; Vinagre Ruiz, Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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    A real time approach to the recognition of human activity based on the interaction with objects in domestic settings is presented. It is based on capturing partial images where the activity takes place using a color camera, ...
  • Reactive power control for loss minimization in low-voltage distributed generation systems 

    Martí Colom, Pau; Velasco García, Manel; Torres Martínez, Javier; Miret Tomàs, Jaume; Castilla Fernández, Miguel (2016)
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    Dispersed small distributed generation (DG) systems in low-voltage (LV) grids pose diverse challenges for successful grid operation. The main one is to guarantee power quality by ensuring that voltages along all the feeders ...
  • Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery 

    Avilés Rivero, Angélica Ivone; Alsaleh, Samar M.; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Comunicació de congrés
    Accés obert
    This paper addresses the issue of lack of force feedback in robotic-assisted minimally invasive surgeries. Force is an important measure for surgeons in order to prevent intra-operative complications and tissue damage. ...
  • Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery 

    Avilés Rivero, Angélica; Alsaleh, Samar M.; Sobrevilla Frisón, Pilar; Casals Gelpi, Alicia (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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    Accés restringit per política de l'editorial
    The lack of force feedback is considered one of the major limitations in Robot Assisted Minimally Invasive Surgeries. Since add-on sensors are not a practical solution for clinical environments, in this paper we present a ...

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